fix attenton loss for ce

ppocr/modeling/heads/rec_att_head.py

@@ -45,6 +45,7 @@ class AttentionHead(nn.Layer):
         output_hiddens = []
 
         if targets is not None:
+            print("target is not None")
             for i in range(num_steps):
                 char_onehots = self._char_to_onehot(
                     targets[:, i], onehot_dim=self.num_classes)
@@ -53,8 +54,8 @@ class AttentionHead(nn.Layer):
                 output_hiddens.append(paddle.unsqueeze(outputs, axis=1))
             output = paddle.concat(output_hiddens, axis=1)
             probs = self.generator(output)
-
         else:
+            print("target is None")
             targets = paddle.zeros(shape=[batch_size], dtype="int32")
             probs = None
             char_onehots = None
@@ -75,6 +76,7 @@ class AttentionHead(nn.Layer):
                             probs_step, axis=1)], axis=1)
                 next_input = probs_step.argmax(axis=1)
                 targets = next_input
+        if not self.training:
             probs = paddle.nn.functional.softmax(probs, axis=2)
         return probs